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ML Ops Engineer, Engineering Services

Knightscope, Inc.
Sunnyvale, USA
Full-time
Senior · 7+ years experience
Onsite
Discovered Yesterday

Full Job Posting

Key Responsibilities

  • Build the production ML deployment, monitoring, and observability pipeline across programs.
  • Absorb the data pipeline scope originally scoped as a separate hire.
  • Partner with the Signals ML/CV Engineer on ICM 2.0 production infrastructure.
  • Partner with K7 ML engineers on autonomy model deployment.
  • Establish MLOps standards and SDLC through the Center of Engineering Excellence.

Required Qualifications

  • 7+ years in ML infrastructure or MLOps engineering.
  • Strong experience productionizing models at scale.
  • Model monitoring, drift detection, and observability.
  • Data pipeline engineering experience.
  • Comfort supporting multiple product teams from shared infrastructure.

Nice to Have

  • Robotics or autonomy model deployment.
  • Computer vision model production experience.
  • Prior work standing up an MLOps function from scratch.
  • Compensation and Benefits
  • Base Salary: $180,000 to $210,000 (DOE)
  • Equity: Stock options

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